ABO blood type association with SARS-CoV-2 infection mortality: A single-center population in New York City.

BACKGROUND: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has a variable clinical course with significant mortality. Early reports suggested higher rates of SARS-CoV-2 infection in patients with type A blood and enrichment of type A individuals among COVID-19 mortalities. STUDY DESIGN AND METHODS: The study includes all patients hospitalized or with an emergency department (ED) visit who were tested for SARS-CoV-2 between March 10, 2020 and June 8, 2020 and had a positive test result by nucleic acid test (NAT) performed on a nasopharyngeal swab specimen. A total of 4968 patients met the study inclusion criteria, with a subsequent 23.1% (n = 1146/4968) all-cause mortality rate in the study cohort. To estimate overall risk by ABO type and account for the competing risks of in-hospital mortality and discharge, we calculated the cumulative incidence function (CIF) for each event. Cause-specific hazard ratios (csHRs) for in-hospital mortality and discharge were analyzed using multivariable Cox proportional hazards models. RESULTS: Type A blood was associated with the increased cause-specific hazard of death among COVID-19 patients compared to type O (HR = 1.17, 1.02-1.33, p = .02) and type B (HR = 1.32,1.10-1.58, p = .003). CONCLUSIONS: Our study shows that ABO histo-blood group type is associated with the risk of in-hospital death in COVID-19 patients, warranting additional inquiry. Elucidating the mechanism behind this association may reveal insights into the susceptibility and/or immunity to SARS-CoV-2.

Using Automated Machine Learning to Predict the Mortality of Patients With COVID-19: Prediction Model Development Study.

BACKGROUND: During a pandemic, it is important for clinicians to stratify patients and decide who receives limited medical resources. Machine learning models have been proposed to accurately predict COVID-19 disease severity. Previous studies have typically tested only one machine learning algorithm and limited performance evaluation to area under the curve analysis. To obtain the best results possible, it may be important to test different machine learning algorithms to find the best prediction model. OBJECTIVE: In this study, we aimed to use automated machine learning (autoML) to train various machine learning algorithms. We selected the model that best predicted patients' chances of surviving a SARS-CoV-2 infection. In addition, we identified which variables (ie, vital signs, biomarkers, comorbidities, etc) were the most influential in generating an accurate model. METHODS: Data were retrospectively collected from all patients who tested positive for COVID-19 at our institution between March 1 and July 3, 2020. We collected 48 variables from each patient within 36 hours before or after the index time (ie, real-time polymerase chain reaction positivity). Patients were followed for 30 days or until death. Patients' data were used to build 20 machine learning models with various algorithms via autoML. The performance of machine learning models was measured by analyzing the area under the precision-recall curve (AUPCR). Subsequently, we established model interpretability via Shapley additive explanation and partial dependence plots to identify and rank variables that drove model predictions. Afterward, we conducted dimensionality reduction to extract the 10 most influential variables. AutoML models were retrained by only using these 10 variables, and the output models were evaluated against the model that used 48 variables. RESULTS: Data from 4313 patients were used to develop the models. The best model that was generated by using autoML and 48 variables was the stacked ensemble model (AUPRC=0.807). The two best independent models were the gradient boost machine and extreme gradient boost models, which had an AUPRC of 0.803 and 0.793, respectively. The deep learning model (AUPRC=0.73) was substantially inferior to the other models. The 10 most influential variables for generating high-performing models were systolic and diastolic blood pressure, age, pulse oximetry level, blood urea nitrogen level, lactate dehydrogenase level, D-dimer level, troponin level, respiratory rate, and Charlson comorbidity score. After the autoML models were retrained with these 10 variables, the stacked ensemble model still had the best performance (AUPRC=0.791). CONCLUSIONS: We used autoML to develop high-performing models that predicted the survival of patients with COVID-19. In addition, we identified important variables that correlated with mortality. This is proof of concept that autoML is an efficient, effective, and informative method for generating machine learning-based clinical decision support tools.

Group O plasma as a media supplement for CAR-T cells and other adoptive T-cell therapies.

BACKGROUND: Most chimeric antigen receptor T (CAR-T) cells and other adoptive T-cell therapies (ACTs) are currently manufactured by ex vivo expansion of patient lymphocytes in culture media supplemented with human plasma from group AB donors. As lymphocytes do not express A or B antigens, the isoagglutinins of non-AB plasmas are unlikely to cause deleterious effects on lymphocytes in culture. STUDY DESIGN AND METHODS: Seeding cultures with peripheral blood mononuclear cell (PBMNC) concentrates from group A1 donors and using a CAR-T culture protocol, parallel cultures were performed, each with unique donor plasmas as media supplements (including group O plasmas with high-titer anti-A and group AB plasmas as control). An additional variable, a 3% group A1 red blood cell (RBC) spike, was added to simulate a RBC-contaminated PBMNC collection. Cultures were monitored by cell count, viability, flow cytometric phenotype, gene expression analysis, and supernatant chemokine analysis. RESULTS: There was no difference in lymphocyte expansion or phenotype when cultured with AB plasma or O plasma with high-titer anti-A. Compared to controls, the presence of contaminating RBCs in lymphocyte culture led to poor lymphocyte expansion and a less desirable phenotype-irrespective of the isoagglutinin titer of the plasma supplement used. CONCLUSIONS: This study suggests that ABO incompatible plasma may be used as a media supplement when culturing cell types that do not express ABO antigens-such as lymphocytes for CAR-T or other ACT. The presence of contaminating RBCs in culture was disadvantageous independent of isoagglutinin titer.

The effect of repeated stimulated granulocyte donations on hematopoietic indexes in donors: a 24-year donor center experience.

BACKGROUND: Short- and long-term effects of mobilization regimens in hematopoietic stem cell and granulocyte donors have been well characterized. In this study, we examined the longitudinal hematopoietic changes related to repeat stimulated granulocyte donation. STUDY DESIGN AND METHODS: Complete blood counts for consecutive granulocyte donors between October 1994 and May 2017 were compared to unstimulated granulocyte donors. Plateletpheresis donors served as controls. The longitudinal change in precollection white blood cell (WBC) counts for these donor groups were modeled using a linear mixed-effects model. The investigated variables were granulocyte, lymphocyte, and monocyte counts and the granulocyte collection yield. Contrasts were performed to explore the effect of donation number on precollection counts. RESULTS: For the granulocyte-colony-stimulating factor plus dexamethasone (G-CSF/Dex)-stimulated group, both the granulocyte and the lymphocyte counts decreased 6.51 × 109 /L (-23.1%, p < 0.001) and 0.21 × 109 /L (-20.4%, p < 0.001), respectively, between Donation 1 and Donation 20. This effect was still present at the 3- to 4-year interval (b = -0.0008313, SE = 0.00029, p = 0.004). For the unstimulated donor group between Donation 1 and Donation 20, the lymphocyte count decreased by 0.62 × 109 /L (-51.5%, p < 0.001). This effect was only significant up to Year 2 (b = -0.0026, SE = 0.0010, p = 0.013). CONCLUSIONS: Past granulocyte donations were found to have a statistically strong negative effect on precollection granulocyte counts and lymphocyte counts and decreased granulocyte yield both in the G-CSF/Dex-stimulated donors and the unstimulated donors. In this statistical model, for both these groups, the effect of past donations on granulocyte and WBC counts were still detectable 2 years later.

Effects of starting cellular material composition on chimeric antigen receptor T-cell expansion and characteristics.

BACKGROUND: When manufacturing chimeric antigen receptor (CAR) T cells using anti-CD3/anti-CD28 beads, ex vivo T-cell expansion is dependent on the composition of leukocytes used in the manufacturing process. We investigated the effects of leukocyte composition on CAR T-cell expansion and characteristics using an alternative manufacturing method. METHODS: Anti-B-cell maturation antigen and CD19-CAR T cells were manufactured using autologous peripheral blood mononuclear cell (PBMNC) concentrates. The PBMNCs were enriched for lymphocytes using density gradient separation, which were used for CAR T-cell culture initiation. T-cell expansion was stimulated with soluble anti-CD3 and interleukin-2. RESULTS: Fifty-one CAR T-cell products were evaluated; 28 anti-B-cell maturation antigen (BCMA) CAR T cells produced for 24 patients and 27 CD19 CAR T cells produced for 24 patients. CAR T-cell expansion was reduced when greater quantities of monocytes were present in the post-density gradient separation PBMNCs. In addition, the ratio of CD4 to CD8 cells in the CAR T-cell products after 7 days of culture was dependent on the quantity of monocytes, RBCs, and neutrophils in the post-density gradient separation PBMNCs. Greater quantities of monocytes and RBCs were associated with a greater proportion of CD4+ cells and greater quantities of neutrophils were associated with a greater proportion of CD8+ cells. CONCLUSIONS: The composition of leukocytes used to manufacture CAR T cells can affect cell expansion and the composition of CAR T-cell products. More uniform or complete lymphocyte enrichment of PBMNCs improves the consistency of final CAR T-cell products.

Treatment-resistant PLA2R-negative membranous nephropathy responsive to low-density lipoprotein apheresis.

Idiopathic membranous nephropathy is the most common cause of nephrotic syndrome in nondiabetic adults. The antibody most often implicated is the M-type phospholipase A2 receptor (PLA2R) antibody, found in >70% of primary membranous nephropathy cases. First-line therapy is immunosuppressive in nature, but for patients who are treatment-resistant there is a significant risk of end-stage renal disease and mortality. Hypercholesterolemia is not only a side effect of nephrotic syndrome, but also its presence may worsen renal function. A recent single-arm observational study in Japan found that low-density lipoprotein apheresis (LDL-A) was able to ameliorate nephrotic syndrome in half of patients who were resistant to medication. We present a case of treatment resistant PLA2R negative membranous nephropathy who had significant improvement following two courses of LDL-A. To our knowledge, this is the first such reported case in the United States.

Breast pathology and mammography BI-RADS category correlation study - A single institute experience.

Although recent technological advances, there is still discordance between mammography findings and pathologic diagnoses, especially for certain racial/ethnic populations. In this study we correlated the mammography BI-RADS categories with pathologic diagnoses, aiming to evaluate the performance of mammography in breast cancer detection in a unique poor population consisting of mostly Hispanics and African Americans. A total of 3935 female patients with a breast mammography and a subsequent breast pathology report within 90 days were retrospectively analyzed. There were 875 (22.2%) patients with a negative or probably benign mammography (BI-RADS 1, 2 and 3), and 33 (3.8%) of them had a malignant pathologic diagnosis. Patients with malignant pathologic diagnoses were older, higher in socioeconomic status (SES), and more likely to be African American or White, compared to those with non-malignant pathologic findings. They mostly presented with related symptoms (e.g. breast pain, mass or discharge) and/or family history or past history of breast cancers, which triggered secondary imaging examination and subsequent breast biopsy/excision, and eventually resulted to the diagnosis of breast cancers. In conclusion, our studies indicated that the performance of mammography is comparable in detection of breast cancers among Hispanics, African American and White populations, if it was done in the same facility. Our results also suggested that for patients with presenting symptoms, past history of breast cancer or strong family history of breast cancer, a secondary breast imaging examination may be warranted following a negative to probably benign mammography (BI-RADS 1-3).

Sources of Hematopoietic Stem and Progenitor Cells and Methods to Optimize Yields for Clinical Cell Therapy.

Bone marrow (BM) aspirates, mobilized peripheral blood, and umbilical cord blood (UCB) have developed as graft sources for hematopoietic stem and progenitor cells (HSPCs) for stem cell transplantation and other cellular therapeutics. Individualized techniques are necessary to enhance graft HSPC yields and cell quality from each graft source. BM aspirates yield adequate CD34+ cells but can result in relative delays in engraftment. Granulocyte colony-stimulating factor (G-CSF)-primed BM HSPCs may facilitate faster engraftment while minimizing graft-versus-host disease in certain patient subsets. The levels of circulating HSPCs are enhanced using mobilizing agents, such as G-CSF and/or plerixafor, which act via the stromal cell-derived factor 1/C-X-C chemokine receptor type 4 axis. Alternate niche pathway mediators, including very late antigen-4/vascular cell adhesion molecule-1, heparan sulfate proteoglycans, parathyroid hormone, and coagulation cascade intermediates, may offer promising alternatives for graft enhancement. UCB grafts have been expanded ex vivo with cytokines, notch-ligand, or mesenchymal stromal cells, and most studies demonstrated greater quantities of CD34+ cells ex vivo and improved short-term engraftment. No significant changes were observed in long-term repopulating potential or in patient survival. Early phase clinical trials using nicotinamide and StemReginin1 may offer improved short- and long-term repopulating ability. Breakthroughs in genome editing and stem cell reprogramming technologies may hasten the generation of pooled, third-party HSPC grafts. This review elucidates past, present, and potential future approaches to HSPC graft optimization.

Risk Estimation of Severe COVID-19 Based on Initial Biomarker Assessment Across Racial and Ethnic Groups.

CONTEXT.­: Disease courses in COVID-19 patients vary widely. Prediction of disease severity on initial diagnosis would aid appropriate therapy, but few studies include data from initial diagnosis. OBJECTIVE.­: To develop predictive models of COVID-19 severity based on demographic, clinical, and laboratory data collected at initial patient contact after diagnosis of COVID-19. DESIGN.­: We studied demographic data and clinical laboratory biomarkers at time of diagnosis, using backward logistic regression modeling to determine severe and mild outcomes. We used deidentified data from 14 147 patients who were diagnosed with COVID-19 by polymerase chain reaction SARS-CoV-2 testing at Montefiore Health System, from March 2020 to September 2021. We generated models predicting severe disease (death or more than 90 hospital days) versus mild disease (alive and fewer than 2 hospital days), starting with 58 variables, by backward stepwise logistic regression. RESULTS.­: Of the 14 147 patients, including Whites, Blacks, and Hispanics, 2546 (18%) patients had severe outcomes and 3395 (24%) had mild outcomes. The final number of patients per model varied from 445 to 755 because not all patients had all available variables. Four models (inclusive, receiver operating characteristic, specific, and sensitive) were identified as proficient in predicting patient outcomes. The parameters that remained in all models were age, albumin, diastolic blood pressure, ferritin, lactic dehydrogenase, socioeconomic status, procalcitonin, B-type natriuretic peptide, and platelet count. CONCLUSIONS.­: These findings suggest that the biomarkers found within the specific and sensitive models would be most useful to health care providers on their initial severity evaluation of COVID-19.

Hepatic Predictors of Mortality in Severe Acute Respiratory Syndrome Coronavirus 2: Role of Initial Aspartate Aminotransferase/Alanine Aminotransferase and Preexisting Cirrhosis.

The novel coronavirus severe acute respiratory syndrome coronavirus 2 (SARS-CoV2) is the causative agent of coronavirus disease 2019 (COVID-19). The presenting symptoms of this virus are variable, and there is an increasing body of literature on risk factors for mortality. The aim of this study was to evaluate the effect of initial aspartate aminotransferase (AST) and alanine aminotransferase (ALT) levels and preexisting liver disease, including cirrhosis, in a cohort of patients admitted with COVID-19 infection at a tertiary care hospital network in the Bronx, New York. We reviewed 3,352 patients who had a positive SARS-CoV2 nasal swab, were over 18 years of age, and had an associated inpatient admission and discharge (or death) to the Montefiore Medical Center from February 28, 2020, to May 22, 2020. Of these, 39/86 (45%) patients died when the initial ALT was >5 times the upper limit of normal (ULN); 115/230 (50%) patients died when the initial AST was >3 times the ULN. The mortality of patients without preexisting liver disease was 26.6% compared to a mortality rate of 29.5% in patients with liver disease. Subgroup analysis showed a mortality of 36.1% in the patients with cirrhosis. Cirrhosis conferred a hazard ratio for mortality of 1.67 (95% confidence interval, 1.09, 2.55; P = 0.019). The baseline Model for End-Stage Liver Disease score was not prognostic in the cirrhosis cohort. There was no statistical difference between mortality in patients with a history of compensated or decompensated cirrhosis. The most common cause of death in the cirrhosis cohort was respiratory failure. Conclusion: COVID-19 hepatitis may lead to poor outcomes in patients who are hospitalized for the disease. Patients with cirrhosis are at a higher risk of COVID-19-related mortality.

Correlation of Coagulation Parameters With Clinical Outcomes During the Coronavirus-19 Surge in New York: Observational Cohort.

IMPORTANCE: COVID-19 has caused a worldwide illness and New York became the epicenter of COVID-19 in the United States from Mid-March to May 2020. OBJECTIVE: To investigate the coagulopathic presentation of COVID and its natural course during the early stages of the COVID-19 surge in New York. To investigate whether hematologic and coagulation parameters can be used to assess illness severity and death. DESIGN: Retrospective case study of positive COVID inpatients between March 20, 2020-March 31, 2020. SETTING: Montefiore Health System main hospital, Moses, a large tertiary care center in the Bronx. PARTICIPANTS: Adult inpatients with positive COVID tests hospitalized at MHS. EXPOSURE FOR OBSERVATIONAL STUDIES: Datasets of participants were queried for demographic (age, sex, socioeconomic status, and self-reported race and/or ethnicity), clinical and laboratory data. MAIN OUTCOME AND MEASURES: Relationship and predictive value of measured parameters to mortality and illness severity. RESULTS: Of the 225 in this case review, 75 died during hospitalization while 150 were discharged home. Only the admission PT, absolute neutrophil count (ANC) and first D-Dimer could significantly differentiate those who were discharged alive and those who died. Logistic regression analysis shows increased odds ratio for mortality by first D-Dimer within 48 hrs. of admission. The optimal cut-point for the initial D-Dimer to predict mortality was found to be 2.1 µg/mL. 15% of discharged patients required readmission and more than a third of readmitted patients died (5% of all initially discharged). CONCLUSION: We describe here a comprehensive assessment of hematologic and coagulation parameters in COVID-19 and examine the relationship of these to mortality. We demonstrate that both initial and maximum D-Dimer values are biomarkers that can be used for survival assessments. Furthermore, D-Dimer may be useful to follow up discharged patients.

SARS-CoV-2 PCR cycle threshold at hospital admission associated with patient mortality.

BACKGROUND: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) cycle threshold (Ct) has been suggested as an approximate measure of initial viral burden. The utility of cycle threshold, at admission, as a predictor of disease severity has not been thoroughly investigated. METHODS AND FINDINGS: We conducted a retrospective study of SARS-CoV-2 positive, hospitalized patients from 3/26/2020 to 8/5/2020 who had SARS-CoV-2 Ct data within 48 hours of admission (n = 1044). Only patients with complete survival data, discharged (n = 774) or died in hospital (n = 270), were included in our analysis. Laboratory, demographic, and clinical data were extracted from electronic medical records. Multivariable logistic regression was applied to examine the relationship of patient mortality with Ct values while adjusting for established risk factors. Ct was analyzed as continuous variable and subdivided into quartiles to better illustrate its relationship with outcome. Cumulative incidence curves were created to assess whether there was a survival difference in the setting of the competing risks of death versus patient discharge. Mean Ct at admission was higher for survivors (28.6, SD = 5.8) compared to non-survivors (24.8, SD = 6.0, P<0.001). In-hospital mortality significantly differed (p<0.05) by Ct quartile. After adjusting for age, gender, BMI, hypertension and diabetes, increased cycle threshold was associated with decreased odds of in-hospital mortality (0.91, CI 0.89-0.94, p<0.001). Compared to the 4th Quartile, patients with Ct values in the 1st Quartile (Ct <22.9) and 2nd Quartile (Ct 23.0-27.3) had an adjusted odds ratio of in-hospital mortality of 3.8 and 2.6 respectively (p<0.001). The discriminative ability of Ct to predict inpatient mortality was found to be limited, possessing an area under the curve (AUC) of 0.68 (CI 0.63-0.71). CONCLUSION: SARS-CoV-2 Ct was found to be an independent predictor of patient mortality. However, further study is needed on how to best clinically utilize such information given the result variation due to specimen quality, phase of disease, and the limited discriminative ability of the test.

Anticoagulation in COVID-19: Effect of Enoxaparin, Heparin, and Apixaban on Mortality.

BACKGROUND: Mortality in coronavirus disease of 2019 (COVID-19) is associated with increases in prothrombotic parameters, particularly D-dimer levels. Anticoagulation has been proposed as therapy to decrease mortality, often adjusted for illness severity. OBJECTIVE: We wanted to investigate whether anticoagulation improves survival in COVID-19 and if this improvement in survival is associated with disease severity. METHODS: This is a cohort study simulating an intention-to-treat clinical trial, by analyzing the effect on mortality of anticoagulation therapy chosen in the first 48 hours of hospitalization. We analyzed 3,625 COVID-19+ inpatients, controlling for age, gender, glomerular filtration rate, oxygen saturation, ventilation requirement, intensive care unit admission, and time period, all determined during the first 48 hours. RESULTS: Adjusted logistic regression analyses demonstrated a significant decrease in mortality with prophylactic use of apixaban (odds ratio [OR] 0.46, p = 0.001) and enoxaparin (OR = 0.49, p = 0.001). Therapeutic apixaban was also associated with decreased mortality (OR 0.57, p = 0.006) but was not more beneficial than prophylactic use when analyzed over the entire cohort or within D-dimer stratified categories. Higher D-dimer levels were associated with increased mortality (p < 0.0001). When adjusted for these same comorbidities within D-dimer strata, patients with D-dimer levels < 1 µg/mL did not appear to benefit from anticoagulation while patients with D-dimer levels > 10 µg/mL derived the most benefit. There was no increase in transfusion requirement with any of the anticoagulants used. CONCLUSION: We conclude that COVID-19+ patients with moderate or severe illness benefit from anticoagulation and that apixaban has similar efficacy to enoxaparin in decreasing mortality in this disease.

Impact of Prothrombin Complex Concentrate on Blood Use, Cost, and Outcomes in Heart Transplantation.

BACKGROUND: Left ventricular assist device (LVAD) recipients undergoing heart transplantation have increased bleeding risk. We compared conventional warfarin reversal with fresh frozen plasma vs 4-factor prothrombin complex concentrate (PCC) and the effect on transfusion requirements, blood bank costs, and clinical outcomes. METHODS: A retrospective review identified 60 consecutive LVAD recipients undergoing heart transplantation divided into two groups: 30 (no PCC) received fresh frozen plasma and 30 (PCC) received PCC. Patient characteristics, intraoperative and postoperative transfusion requirements, short-term clinical outcomes, and blood bank costs were compared. PCC association with transfusion requirements was assessed by multivariate linear regression. RESULTS: Patients who received PCC were younger (50 ± 11 vs 57 ± 13 years, p = 0.02), fewer had ischemic cardiomyopathy (23% vs 60%, p = 0.01), had more than one prior sternotomy (7% vs 30%, p = 0.04), and had higher preoperative hemoglobin (11.8 ± 1.8 vs 10.4 ± 1.8 g/dL, p = 0.01). The PCC group had a significantly shorter bypass time (185 vs 217 minutes, p = 0.01), received less fresh frozen plasma (2 vs 5 units, p = 0.03), cryoprecipitate (0 vs 2 units, p = 0.05), and total blood products (9 vs 13.5 units, p = 0.03) intraoperatively, and was less likely to require delayed sternal closure (3% vs 23%, p = 0.05). On multivariate linear regression, PCC was significantly associated with decreased intraoperative transfusion (ß = -6.09, p = 0.02). There was no difference in thromboembolic events or in-hospital death. Total blood bank costs were $4,949 for PCC and $3,677 for no PCC (p = 0.01). CONCLUSIONS: Although more costly, PCC reduced transfusion requirements and delayed sternal closure in heart transplant recipients bridged with LVAD, justifying its use over traditional warfarin reversal.

Laboratory and clinical predictors of 30-day survival for patients on Extracorporeal Membrane Oxygenation (ECMO): 8-Year experience at Albert Einstein College of Medicine, Montefiore Medical Center.

PURPOSE: Survival of patients on ECMO has remained stable in every population. Laboratory values predictors of survival are required to improve patient care. MATERIALS AND METHODS: Clinical Looking Glass software was used to assess Electronic Medical Records (EMRs) of patients at Albert Einstein College of Medicine, Montefiore Medical Center (2007-2014). RESULTS: Our population comprises of 166 adults and was divided in survivors and non-survivors, within 30days. Indications for ECMO were cardiac (65%), respiratory (25%) and infectious diseases (<10%). Eighty six patients (51.8%) survived the procedure. Gender, body weight, ejection fraction, diastolic blood pressure, and socio-economic status did not differ among survivors and non-survivors. In contrast, younger patients (45yo vs 55yo, p=0.0001) and higher systolic blood pressure (115mmHg vs 103mmHg, p=0.025) have favorable outcome. Univariate analysis shows that pre-cannulation values for creatinine (p=0.0003), chloride (p=0.009), bicarbonate (p=0.015) and pH (p=0.03) have prognostic value. Post-cannulation aPTT, pH, platelet and lymphocyte counts also have discriminative power. Notably, multiple logistic regressions for Multivariate Analysis identified chloride (OR 1.07; 95% CI 1.02-1.13; p=0.004), pH (OR 3.35; 95% CI 1.89-5.9; p<0.0001) and aPTT (OR 0.98; 95% CI 0.976-0.998; p=0.024) as independent risk factors for 30-day mortality. These results imply that pre-existing renal conditions and hemostatic dysregulation contribute to poor outcome. Finally, patients on VV-ECMO have increase odds of survival (OR 1.88; 95% CI 1.06-3.34; p=0.029). CONCLUSIONS: Laboratory markers identified herein may guide the management of patients on ECMO.

Onboarding for Pathology Residency Programs-The Montefiore Experience.

Onboarding is a system frequently used in the corporate world as a means of orienting incoming employees to their duties and inculcating the workplace values. The program aims to facilitate transition into new work roles and improve employee retention rates. At Montefiore, we have instituted an onboarding curriculum that is given to new anatomic and clinical pathology residents about a month prior to the start of residency. The program includes an introductory video series of basic histology and a series of anatomic and clinical case studies illustrating basic laboratory principles. This didactic content is tagged to learning objectives and short self-assessment modules. In addition, content related to the work ethos at Montefiore and the role of the core competencies and milestones in residency education are included. Finally, a broader component of the onboarding gives the incoming residents a social welcome to our area, including key information about living in the area surrounding Montefiore. The program has been well received by our residents for whom the content has helped to boost confidence when starting. We feel that the program is helpful in ensuring that all incoming residents start having received the same baseline didactic content. Transmitting this didactic content via onboarding allows our residents to begin the work of learning pathology immediately, rather than spending the first weeks of residency covering remedial content such as basic histology. Such a program may be useful to other pathology residencies, most of whom have residents from a range of backgrounds and whose prior exposure to pathology may be limited.